AI LLM Object Mapping

I need an expert to help with AI language model object mapping.

Key Requirements:
- Experience with AI/ML technologies
- Familiarity with LLMs - hybrid models (data enforced learning)
- Ability to define and implement custom mapping strategies, yolo & onnx
- General sporting industry knowledge

Ideal Skills:
- YOLO & ONNX object mapping/detection
- python, js, dart-flutter based development
- device video resources, overlays
- AI object detection/tracking

existing app to track sports actives, 95% complete, requires problem solving around object tracking and assessment. Video feed, record, and playback with overlay mapping, and formatting for multi device use.

Primary functionality of the app is done and I'm currently stuck on fine tunning the object mapping and video feed/play functions for mobile device use.

web based application utilizing yolo and onnx / hybrid openai LLM

Turnaround - 24 to 48 hours

3 primary goals:

- review existing code for general clean/up errors
- optimize object tracking
- mobile device real-time video object tracking and overlay


Please submit your proposals with relevant experience and approach.